chronicdata-cdc-gov/places-local-data-for-better-health-zcta-data-2021-qnzd-25i4
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PLACES: Local Data for Better Health, ZCTA Data 2021 release

This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.

Columns

NameSocrata field nameColumn name in sgr mountData typeDescription
Short_Question_Textshort_question_textshort_question_textTextMeasure short name
MeasuremeasuremeasureTextMeasure full name
DataValueTypeIDdatavaluetypeiddatavaluetypeidTextIdentifier for the data value type
Data_Valuedata_valuedata_valueNumberData Value, such as 14.7
Data_Value_Typedata_value_typedata_value_typeTextThe data type, such as age-adjusted prevalence or crude prevalence
LocationIDlocationidlocationidText5-digit Zip Code Tabulation Area (ZCTA5) code
MeasureIdmeasureidmeasureidTextMeasure identifier
Data_Value_Unitdata_value_unitdata_value_unitTextThe data value unit, such as "%" for percentage
LocationNamelocationnamelocationnameText5 digits ZIP Code Tabulation Area code
Low_Confidence_Limitlow_confidence_limitlow_confidence_limitNumberLow confidence limit
High_Confidence_Limithigh_confidence_limithigh_confidence_limitNumberHigh confidence limit
TotalPopulationtotalpopulationtotalpopulationNumberTotal population of Census 2010
GeolocationgeolocationgeolocationPointLatitude, Longitude of city centroid (Format: Point(Longitude Latitude))
CategoryIDcategoryidcategoryidTextIdentifier for Topic/Category
States:@computed_region_bxsw_vy29:@computed_region_bxsw_vy29NumberThis column was automatically created in order to record in what polygon from the dataset 'States' (bxsw-vy29) the point in column 'geolocation' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
DataSourcedatasourcedatasourceTextData source
YearyearyearTextYear
CategorycategorycategoryTextTopic
Data_Value_Footnotedata_value_footnotedata_value_footnoteTextFootnote text
Data_Value_Footnote_Symboldata_value_footnote_symboldata_value_footnote_symbolTextFootnote symbol
Counties:@computed_region_he4y_prf8:@computed_region_he4y_prf8NumberThis column was automatically created in order to record in what polygon from the dataset 'Counties' (he4y-prf8) the point in column 'geolocation' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
 
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  • places_local_data_for_better_health_zcta_data_2021
     
Upstream Metadata